About this role
Are you excited about building the data infrastructure that powers the next generation of AI Agents and Large Language Models? Do you enjoy solving complex challenges in distributed systems, high-performance computing, and AI-driven data platforms? Then this opportunity could be for you! What are you going to do? As an AI Infrastructure Expert you will play a key role in designing and developing next-generation data infrastructure for AI-driven applications and Agent ecosystems. Your responsibilities include: - Design and develop a unified platform for managing and scheduling heterogeneous computing resources, including CPUs, GPUs, and NPUs. You will improve resource allocation, optimize performance, and increase utilization across large-scale computing environments; - Build and enhance next-generation multimodal computing engines that process and analyze large volumes of unstructured data, including text, images, video, and other data types. You will focus on performance, scalability, and efficient execution of complex workloads; - Develop advanced query, retrieval, and processing capabilities for multimodal data environments. This includes supporting vector, text, geospatial, and other data formats while improving search accuracy, speed, and overall system efficiency; - Design and implement scalable vector storage, indexing, metadata management, and access control solutions. You will ensure high-performance data retrieval, efficient storage optimization, and seamless integration with open-source technologies and ecosystems; - Build high-performance distributed caching services that support large-scale AI and data workloads. You will enable fast data access, near-compute caching, and efficient data transfer between different computing engines and platforms; - Apply AI4DB, Large Language Models, and Agent technologies to create intelligent data platforms with autonomous decision-making capabilities. You will develop AI-powered Agents that automate data manag